Career Summary

Biography

Dr Welsh completed a PhD in the area of system identification in 2004. Specifically, his PhD thesis studied ill-conditioning that arises in numerous aspects of system identification. He also proposed several novel techniques and methods to avoid the problems that are associated with this ill-conditioning.He has over ten years of experience as an engineer working in industry. This work focused on control engineering. Frequently in this work, he used system identification methods to obtain appropriate models. This dual background gives Dr Welsh an important perspective of systems research. In particular, his goal is to emphasize strong theoretical contributions which have genuine practical relevance.

Research ExpertiseI have a strong interest in both fundamental and applied research in the areas of control system design and system identification. More recently, I have become involved with research on experiment design for dynamic systems.

Administrative ExpertiseI'm currently the Graduate Studies Adviser for the School of Electrical Engineering and Computer Science. As well as this I am a member of several committees within the Faculty of Engineering and Built Environment. These include the Marketing Committee, Industry Advisory Board Secretary, UNISS representative for Electrical Engineering and the Electrical Engineering Equipment Committee. Also I'm a member of the NSW HSC examination committee for Engineering Studies.

Qualifications

PhD, University of Newcastle

Bachelor of Engineering (Honours), University of Newcastle

Keywords

Control Systems

Electrical Engineering

Experiment Design

System Identification

Fields of Research

Code

Description

Percentage

090602

Control Systems, Robotics and Automation

90

010499

Statistics not elsewhere classified

10

Professional Experience

UON Appointment

Title

Organisation / Department

Senior Lecturer

University of NewcastleSchool of Elect Engineering and Computer ScienceAustralia

Konnik MV, De Dona JA, Welsh JS, 'Constrained control of low order adaptive optics systems using a fast suboptimal solution based on 'feedback from coupling'', Australian Control Conference Proceedings 2012, Sydney, Australia (2012) [E1]